PRISM AI Red Teaming: Proactively Testing AI Systems Against Real-World Attacks
PRISM AI Red Teaming: Proactively Testing AI Introduction Artificial intelligence is becoming deeply integrated into modern businesses. Organizations are using large language models, AI assistants, autonomous agents, RAG applications, APIs, and machine learning systems to automate tasks and support important business decisions. But as AI adoption grows, so does the attack surface. Traditional cybersecurity testing can identify weaknesses in applications, networks, and infrastructure, but AI systems introduce vulnerabilities that require specialized testing. Attackers can manipulate prompts, extract sensitive information, bypass safety controls, exploit model behavior, and abuse connected tools. This is where PRISM AI Red Teaming comes in. SISA PRISM includes PrismStrike , an AI red-teaming and adversarial testing module designed to test AI systems against the OWASP LLM Top 10 and a broader set of attack techniques. The platform describes its testing as producing replayable expl...